Budget impact analysis of a machine learning algorithm to predict high risk of atrial fibrillation among primary care patients. (2022)

First Author: Szymanski T

Attributed to: Discover-NOW: The Health Data Research Hub for Real World Evidence funded by ISCF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/europace/euac016

PubMed Identifier: 35226101

Publication URI: http://europepmc.org/abstract/MED/35226101

Type: Journal Article/Review

Volume: 24

Parent Publication: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology

Issue: 8

ISSN: 1099-5129